Triple
T12692212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississippi Department of Archives and History |
E303232
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
MDAH
MDAH is the state agency responsible for preserving, managing, and promoting Mississippi’s historical records, archives, and cultural heritage.
|
E999048
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: MDAH | Statement: [Mississippi Department of Archives and History, alsoKnownAs, MDAH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MDAH Context triple: [Mississippi Department of Archives and History, alsoKnownAs, MDAH]
-
A.
DMHHS
DMHHS is a New York City mayoral office that coordinates and oversees the city’s health and human services agencies and policies.
-
B.
MDH
MDH is the acronym for the Maryland Department of Health, the state agency responsible for public health services, policy, and regulation in Maryland.
-
C.
MDH
MDH is the commonly used abbreviation for the Faculty of Medicine, Dentistry and Health, an academic division focused on education and research in medical, dental and health sciences.
-
D.
DMH
DMH is the Massachusetts state agency responsible for overseeing and providing public mental health services and supports.
-
E.
MDSHS
MDSHS is the acronym for the Maryland State Highway System, the network of state-maintained roads and highways in Maryland.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MDAH Triple: [Mississippi Department of Archives and History, alsoKnownAs, MDAH]
Generated description
MDAH is the state agency responsible for preserving, managing, and promoting Mississippi’s historical records, archives, and cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MDAH Target entity description: MDAH is the state agency responsible for preserving, managing, and promoting Mississippi’s historical records, archives, and cultural heritage.
-
A.
DMHHS
DMHHS is a New York City mayoral office that coordinates and oversees the city’s health and human services agencies and policies.
-
B.
MDH
MDH is the acronym for the Maryland Department of Health, the state agency responsible for public health services, policy, and regulation in Maryland.
-
C.
MDH
MDH is the commonly used abbreviation for the Faculty of Medicine, Dentistry and Health, an academic division focused on education and research in medical, dental and health sciences.
-
D.
DMH
DMH is the Massachusetts state agency responsible for overseeing and providing public mental health services and supports.
-
E.
MDSHS
MDSHS is the acronym for the Maryland State Highway System, the network of state-maintained roads and highways in Maryland.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961dbc91c8190bec50797bbd593db |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671acbd5c8190ad8d1d2f18868369 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f674da7ca88190a0753eba85766d04 |
completed | May 2, 2026, 10:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f675c42fec8190b60751c0db88f3b6 |
completed | May 2, 2026, 10:08 p.m. |
Created at: April 9, 2026, 5:22 p.m.